Computational Intelligence for Engineering Systems

1. Front Matter

   Pages i-vii

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2. Intention Recognition with Evolution Prospection and Causal Bayes Networks

   • Luís Moniz Pereira, Han The Anh

   Pages 1-33

3. Scheduling a Cutting and Treatment Stainless Steel Sheet Line with Self-Management Capabilities

   • Ana Madureira, Ivo Pereira, Nelson Sousa, Paulo Ávila, João Bastos

   Pages 34-47

4. A sensor classification strategy for robotic manipulators using multidimensional scaling technique

   • Miguel F. M. Lima, J. A. Tenreiro Machado

   Pages 48-60

5. Collective-Intelligence and Decision-Making

   • Paulo Trigo, Helder Coelho

   Pages 61-76

6. Analysis of Crossover Operators for Cluster Geometry Optimization

   • Francisco B. Pereira, Jorge M. C. Marques

   Pages 77-89

7. A Support Vector Machine based Framework for Protein Membership Prediction

   • Lionel Morgado, Carlos Pereira, Paula Veríssimo, António Dourado

   Pages 90-103

8. Modeling and Control of a Dragonfly-Like Robot

   • Micael S. Couceiro, N. M. Fonseca Ferreira, J. A. Tenreiro Machado

   Pages 104-118

9. Emotion Based Control of Reasoning and Decision Making

   • Luis Morgado, Graça Gaspar

   Pages 119-133

10. A Generic Recommendation System based on Inference and Combination of OWL-DL Ontologies

    • Hélio Martins, Nuno Silva

    Pages 134-146

11. GIGADESSEA – Group Idea Generation, Argumentation, and Decision Support considering Social and Emotional Aspects

    • Goreti Marreiros, Ricardo Santos, Carlos Ramos

    Pages 147-155

12. Electricity Markets: Transmission Prices Methods

    • Judite Ferreira, Zita Vale, Hugo Morais

    Pages 156-175

13. Computational Intelligence Applications for Future Power Systems

    • Zita Vale, Ganesh K. Venayagamoorthy, Judite Ferreira, Hugo Morais

    Pages 176-193

Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems in basic sciences (such as physics, chemistry and biology) and engineering, environmental, life and social sciences. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights into their own experience in these fields. The authors also include methods that apply to diverse fields such as manufacturing, tourism, power systems, computer science, robotics, chemistry, and biology.

Topics include: Simulation and evolution of real and artificial life forms; Self-organization; Models of communication and social behaviors; Emergent collective behaviors and swarm intelligence; Adaptive, complex and biologically inspired systems; Power Systems ; Web-based Applications; Knowledge discovery; Intelligent Tutoring Systems ; Decision support Systems; Intelligent Tutoring Systems.

• artificial life
• communication models
• complex systems
• computational intelligence
• engineering systems
• evolution
• intelligence
• intelligent systems
• optimization
• power systems
• self organization
• simulation
• swarm
• web-based applications

• Computer Science Department, School of Engineering-Polytechnic, Porto, Portugal

  Ana Madureira

• Institute of Engineering (ISEP), Department of Electrical Engineering (DE, Polytechnic Institute of Porto (IPP), Porto, Portugal

  Judite Ferreira, Zita Vale

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